A Progressive Population Estimation Based Binary Query Tree Protocol for Efficient RFID Tag Collision Resolution

Author(s):  
Xin-Qing Yan ◽  
Yi-Su Wang ◽  
Yang Liu ◽  
Xue-Mei Liu
Author(s):  
Xinqing Yan ◽  
Zhouping Yin

Proposed protocols work clumsily in resolving the collisions occurred in dense RFID tag environment. QTDFS-ALOHA, a hybrid protocol which combines the query tree protocol and the dynamic frame slot ALOHA protocol, is proposed. In each frame of this protocol, only tags in the active set are allowed to answer in randomly selected slots. Afterwards, the population of tags in the active set is estimated. According to the identification accuracy required, the protocol may choose to continue the identification of the active set with delicately calculated frame length, or to divide the active set into multiple subsets using some binary prefix strings and identify each subset subsequently in the following frames. This process is performed recursively for all tag sets until the required accuracy is achieved. Proposed tag population estimation methods are summarized and evaluated. Numeric simulation verifies that this hybrid protocol outperforms other frame slot ALOHA based protocols.


2010 ◽  
Vol 1 (1) ◽  
pp. 67-82
Author(s):  
Xinqing Yan ◽  
Zhouping Yin

Proposed protocols work clumsily in resolving the collisions occurred in dense RFID tag environment. QTDFS-ALOHA, a hybrid protocol which combines the query tree protocol and the dynamic frame slot ALOHA protocol, is proposed. In each frame of this protocol, only tags in the active set are allowed to answer in randomly selected slots. Afterwards, the population of tags in the active set is estimated. According to the identification accuracy required, the protocol may choose to continue the identification of the active set with delicately calculated frame length, or to divide the active set into multiple subsets using some binary prefix strings and identify each subset subsequently in the following frames. This process is performed recursively for all tag sets until the required accuracy is achieved. Proposed tag population estimation methods are summarized and evaluated. Numeric simulation verifies that this hybrid protocol outperforms other frame slot ALOHA based protocols.


2015 ◽  
Vol 22 ◽  
pp. 26-38 ◽  
Author(s):  
Xin-Qing Yan ◽  
Yang Liu ◽  
Bin Li ◽  
Xue-Mei Liu

2013 ◽  
Vol 12 (10) ◽  
pp. 2063-2075 ◽  
Author(s):  
Yuan-Cheng Lai ◽  
Ling-Yen Hsiao ◽  
Hong-Jie Chen ◽  
Ching-Neng Lai ◽  
Jian-Wei Lin

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